Cube
Interfaces with Cube.dev's REST API to enable querying and describing data from Cube deployments, simplifying access to complex da
This MCP server, developed by Isaac Wasserman, interfaces with Cube.dev's REST API to enable AI agents to interact with semantic data layers. Built with Python and utilizing the Model Context Protocol SDK, it provides tools for querying and describing data available in Cube deployments. The implementation focuses on simplifying access to complex data structures, offering functionality to read data and retrieve metadata. It's particularly useful for organizations looking to leverage their existing Cube semantic layers with AI agents, enabling use cases such as automated data analysis, natural language querying of business metrics, and AI-assisted data exploration without directly dealing with Cube's API complexities.
Source
Repository: https://github.com/isaacwasserman/mcp_cube_server
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